-We have developed an advanced vector quantization (VQ) encoding hardware for still image encoding systems. By utilizing needless calculation elimination method, computational cost of VQ encoding is reduced to 40% or less, while maintaining the accuracy of full-search VQ. We have successfully implemented the advanced encoding method and Adaptive resolution VQ (AR-VQ), which realizes compression ratio over 1/200 while maintaining image quality, into a still image encoding processor. The processor can compress still image of 1600 x 2400 pixels within one second, which is 60 times faster than software implementation on current PCs.

A dynamically reeonfigurable logic array, i.e., the Flexible Processor, suitable for a single chip emulation system is developd. It demonstrates the sequential execution of several sub-circuits divided temporally from an original large circuit In order to accelerate emulation speed, a logic element, reducing total Configuration data by 30% compared to conventional Look-UpTable, and Temporal Communication Module (TCM) to support savdrestore of circuit state and data communication among divided sub-circuits, are implemented on the Flexible processor.